Show HN: Upskill – skill to find skills for your AI agents (github.com)

Upskill is a newly launched free, MIT-licensed routing layer designed to enhance the efficiency of AI agents by directing them to the most relevant skill playbooks before they begin work. Instead of relying solely on memory, AI assistants can now utilize a proven set of instructions, constraints, and tools curated from various sources, including major tech companies and community inputs. This has significant implications for the AI/ML community as it could greatly reduce inefficiencies, leading to more accurate outputs and less wasted computational tokens by ensuring agents do not "wing it" but rather, start with the best practices for specific tasks. Functionally, upskill acts as a skill-selection layer, allowing an AI agent to search for a task-specific playbook, inspect it, and then follow its instructions meticulously. This system is designed to provide better context, improving the quality of generated outputs across diverse applications such as code generation, document creation, email management, and more. With features like vetted source prioritization, feedback loops that elevate effective skills, and safety checks to prevent the use of harmful commands, upskill ensures that AI agents operate with enhanced intelligence and security, making it a crucial development in the landscape of AI workflows.